1. A fixed-point nonlinear PCA algorithm for blind source separation
- Author
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Zhu, Xiaolong, Ye, Jimin, and Zhang, Xianda
- Subjects
- *
COMPUTER algorithms , *COMPUTER simulation , *ALGORITHMS , *SIMULATION methods & models - Abstract
Abstract: This paper addresses the problem of blind source separation and presents a fixed-point nonlinear principal component analysis (NPCA) algorithm. It is a block-wise batch algorithm and gives an alternative perspective on existing adaptive online NPCA algorithms. Utilizing new activation functions that automatically satisfy a stability condition, the proposed algorithm can separate mixed signals with sub- and super-Gaussian source distributions. The efficiency is confirmed by extensive computer simulations on man-made sources as well as practical speech signals. [Copyright &y& Elsevier]
- Published
- 2005
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